Evidence map›Paper›PMID 35196933›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2022

Tissue damage detected by quantitative gradient echo MRI correlates with clinical progression in non-relapsing progressive MS.

Biao Xiang, Matthew R Brier, Manasa Kanthamneni, Jie Wen, Abraham Z Snyder, Dmitriy A Yablonskiy, Anne H Cross

Open access · greenAbstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Biao XiangDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA.
Matthew R BrierDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.
Manasa KanthamneniDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA/School of Medicine, St. George's University, St. George, Grenada.
Jie WenDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA.
Abraham Z SnyderDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA/Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA.
Dmitriy A YablonskiyDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-2898-8797
Anne H CrossDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-0829-7569
Washington University in St. Louis · USSt. George's University · GD

Funding

In vivo MRI Biomarkers of Microstructural Correlates of Brain Pathology in Preclinical and Early Alzheimer DiseaseR01AG054513 · NIA · WASHINGTON UNIVERSITY · PI YABLONSKIY, DMITRIY A · 2017 to 2021
$2.7M
In vivo Identification of Pre-Atrophic Brain Neurodegeneration in Prodromal Alzheimer Disease with Quantitative Gradient Recalled Echo MRIRF1AG077658 · NIA · WASHINGTON UNIVERSITY · PI YABLONSKIY, DMITRIY A · 2022 to 2022
$2.2M
WASHINGTON UNIVERSITY NEUROSURGERY RESIDENT RESEARCH EDUCATION PROGRAMR25NS090978 · NINDS · WASHINGTON UNIVERSITY · PI ZIPFEL, GREGORY J · 2015 to 2023
$2.1M
Deep-Learning-Augmented Quantitative Gradient Recalled Echo (DLA-qGRE) MRI for in vivo Clinical Evaluation of Brain Microstructural Neurodegeneration in Alzheimer DiseaseRF1AG082030 · NIA · WASHINGTON UNIVERSITY · PI GOYAL, MANU S, YABLONSKIY, DMITRIY A · 2023 to 2023
$2.0M
In vivo Identification of Pre-Atrophic Brain Neurodegeneration in Prodromal Alzheimer Disease with Quantitative Gradient Recalled Echo MRIR01AG077658 · NIA · WASHINGTON UNIVERSITY · PI DMITRIY A YABLONSKIY · 2025 to 2026
$1.4M
NIA NIH HHS R01 AG054513NIA NIH HHS R01 AG077658NIA NIH HHS RF1 AG077658NIA NIH HHS RF1 AG082030NINDS NIH HHS R25 NS090978
6 · The paper itself

Abstract

backgroundImaging biomarkers of progressive multiple sclerosis (MS) are needed. Quantitative gradient recalled echo (qGRE) magnetic resonance imaging (MRI) evaluates microstructural tissue damage in MS.

objectiveTo evaluate qGRE-derived R2t* as an imaging biomarker of MS progression compared with atrophy and lesion burden.

methodsTwenty-three non-relapsing progressive MS (PMS), 22 relapsing-remitting MS (RRMS), and 18 healthy control participants underwent standard MS physical and cognitive neurological assessments and imaging with qGRE, FLAIR, and MPRAGE at 3T. PMS subjects were tested clinically and imaged every 9 months over 45 months. Imaging measures included lesion burden, atrophy, and R2t* in cortical gray matter (GM), deep GM, and normal-appearing white matter (NAWM). Longitudinal analysis of clinical performance and imaging biomarkers in PMS subjects was conducted via linear models with subject as repeated, within-subject factor. Relationship between imaging biomarkers and clinical scores was assessed by Spearman rank correlation.

resultsR2t* reductions correlated with neurological impairment cross-sectionally and longitudinally. PMS patients with clinically defined disease progression (

conclusionqGRE-derived R2t* is a potential imaging biomarker of MS progression.

Indexed as

Multiple SclerosisMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingAtrophyBrainGray MatterHumansMagnetic Resonance Imagingdeep gray matterimaging biomarkermultiple sclerosis progressionnon-relapsing progressive multiple sclerosisQuantitative gradient recalled echo MRItissue damage

Identifiers

PMID35196933
PMCPMC9329152
OpenAlexW4225395108

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.